# Mindgard Canonical page: https://aiteamrecord.com/company/mindgard/ > Researcher-led AI red teaming with platform-backed retesting. ## What this provider does Mindgard offers a human-led AI red teaming engagement alongside its automated AI security platform. Its official service page says researchers test LLM applications, agents, tools, guardrails and models; the scoped work produces attack narratives, reproducible transcripts, prioritized findings, a remediation roadmap and a retest. The provider describes platform regression tests after the engagement. These are provider-reported deliverables, not independently verified protection results. Buyers should define authorized systems, safe testing rules, report and retest scope, and any platform subscription before commissioning work. ### A researcher-led engagement for AI systems Mindgard's red teaming service describes named researchers attacking the AI system around a model, including chat applications, RAG retrieval, agents, tool connections and guardrails. The team says it combines manual objective-driven attacks with automated platform tests. The services overview independently distinguishes expert-led service lines from the product subscription on the same official site. The page names prompt injection, data extraction, guardrail bypass and agent tool misuse as example techniques. Those are attack categories to agree in a rules-of-engagement document, not evidence that any specific buyer has an exploitable weakness. An SMB buyer should identify its actual application and authorized test environment before deciding whether a full red team is proportionate. Sources: [Mindgard — AI Red Teaming Services](https://mindgard.ai/services/ai-red-teaming); [Mindgard — Services](https://mindgard.ai/services/mindgard-services) ### What the team says it hands over The published service process begins with scope, attacker goals and safety controls, then maps entry points, data flows and tool permissions before adversarial testing. Mindgard says its findings include attack narratives, reproducible prompts and tool-call transcripts, severity priorities, control-effectiveness observations and a remediation roadmap. A readout with security and engineering staff and a retest follow the testing phase. Successful attacks can be turned into regression tests in the Mindgard platform. That can help a team check future model or prompt changes, but a buyer should confirm whether platform access, onboarding and an ongoing subscription are part of the quoted engagement. The page describes a typical single-application timeframe and scope-based pricing; it does not publish a universal fee. Sources: [Mindgard — AI Red Teaming Services](https://mindgard.ai/services/ai-red-teaming); [Mindgard — AI Security Platform](https://mindgard.ai/ai-security-platform) ### Separating human testing from automated software The separate platform page describes continuous discovery, automated assessment, attack workflows and routing findings into engineering systems. Those capabilities do not by themselves prove a researcher has reviewed a buyer's application. Conversely, a single human engagement does not establish ongoing coverage unless the quote includes regression testing or another service. A practical comparison should ask for the systems and interfaces in scope, whether testing is black-box or includes source access, protections for production and sensitive data, the exact report artifacts, who validates fixes, and the terms for retest and platform use. Mindgard's public claims remain provider-reported; the reviewed pages do not independently verify a delivery result or state worldwide service coverage. Sources: [Mindgard — AI Red Teaming Services](https://mindgard.ai/services/ai-red-teaming); [Mindgard — AI Security Platform](https://mindgard.ai/ai-security-platform) ### Buyer fit Teams deploying an AI application or agent that need authorized adversarial testing by researchers, beyond an automated scan. Confirm the target systems and interfaces, rules of engagement, treatment of sensitive data, exact deliverables and retest window, whether platform onboarding is included, and a scope-based quote. The service page targets enterprise and product teams; a standard SMB minimum or country coverage is not published. ## Services and focus - Provider type: AI consultancy - Delivery mode: AI Security Assessment - Tasks: [Assess AI system security](https://aiteamrecord.com/tasks/assess-ai-system-security/) - Industries: Not stated ## Claims and sources A listing is not an endorsement or a guarantee of delivery. Provider-reported statements are not independent verification. Not stated means unknown, not absent. Source review dates are distinct from independent verification dates. Owner claim status concerns profile control, not service delivery. ### Human AI red teaming Statement: Mindgard says researchers conduct manual attacks against LLM applications, agents, tools, guardrails and models, while its platform runs automated attack variants in parallel. Status: Provider-reported - Source: [Mindgard — AI Red Teaming Services](https://mindgard.ai/services/ai-red-teaming) - Source: [Mindgard — Services](https://mindgard.ai/services/mindgard-services) ### Scope, test and readout Statement: The published engagement phases cover rules of engagement, threat modeling, adversarial testing, a findings readout, remediation support and retesting. Duration is described as typical for one application rather than a guaranteed term. Status: Provider-reported - Source: [Mindgard — AI Red Teaming Services](https://mindgard.ai/services/ai-red-teaming) ### Reproducible findings Statement: Mindgard describes attack narratives, transcripts, prioritized findings, control-effectiveness observations and a remediation roadmap; successful attacks can become platform regression tests. Status: Provider-reported - Source: [Mindgard — AI Red Teaming Services](https://mindgard.ai/services/ai-red-teaming) ### Service and platform boundary Statement: The human engagement is offered separately from the AI security platform, which automates discovery, adversarial evaluation and ongoing risk tracking. A platform demo is not itself a researcher-led engagement. Status: Provider-reported - Source: [Mindgard — AI Red Teaming Services](https://mindgard.ai/services/ai-red-teaming) - Source: [Mindgard — AI Security Platform](https://mindgard.ai/ai-security-platform) ## Service details - Service coverage: Not stated - Headquarters: Not stated - Languages: Not stated - Pricing: Not stated - Official website: [Mindgard](https://mindgard.ai/) - Official contact: [Contact this provider](https://mindgard.ai/services/ai-red-teaming) ## Profile sources and updates This profile has not been independently verified. Sources last reviewed: 2026-10-15 Content last updated: 2026-10-15T11:21:39.743Z Owner claim status: Not claimed ### Original sources - [Mindgard — AI Red Teaming Services](https://mindgard.ai/services/ai-red-teaming) — Provider source; checked 2026-10-15 - [Mindgard — Services](https://mindgard.ai/services/mindgard-services) — Provider source; checked 2026-10-15 - [Mindgard — AI Security Platform](https://mindgard.ai/ai-security-platform) — Provider source; checked 2026-10-15 Corrections: https://aiteamrecord.com/correction?provider=mindgard Interpretation guide: https://aiteamrecord.com/methodology.md